03018nam a22004935i 4500 978-0-387-24349-8 DE-He213 20260521091831.0 cr nn 008mamaa 100301s2005 xxu| s |||| 0|eng d 9780387243498 99780387243498 10.1007/b105200 doi CICY 519.6 23 Snyman, Jan A. author. Practical Mathematical Optimization [recurso electrónico] : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms / by Jan A. Snyman. Boston, MA : Springer US, 2005. XX, 258 p. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda Applied Optimization, 1384-6485 ; 97 Line Search Descent Methods for Unconstrained Minimization -- Standard Methods for Constrained Optimization -- New Gradient-Based Trajectory and Approximation Methods -- Example Problems -- Some Theorems. This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties-such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima-that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods. Audience It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace. MATHEMATICS. ALGORITHMS. NUMERICAL ANALYSIS. MATHEMATICAL OPTIMIZATION. OPERATIONS RESEARCH. MATHEMATICS. OPTIMIZATION. ALGORITHMS. OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING. NUMERICAL ANALYSIS. SpringerLink (Online service) Springer eBooks Printed edition: 9780387243481 Applied Optimization, 1384-6485 ; 97 http://dx.doi.org/10.1007/b105200 Ver el texto completo en las instalaciones del CICY ddc ER 32279 32279 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 519.6 2025-07-10 08:39:31 2025-07-10 ER